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Paper Citation Record · LEDGER

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2504.16591.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.16591 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:50.178551Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61f0b0d-3dca-41f7-9af5-337a0b4fe12d · outbound

This paper cites Human-level control through deep reinforcement learning.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Human-level control through deep reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.295909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.147182Z digest=sha256:fe7c69dd26ab6bb632024bdb00947ef4ed5edc519516244ce6c1bc837382cb0e

Observation e0fe8974-b1e2-468e-95d8-27fea1b7d2c0 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.151459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.151459Z digest=sha256:6e43dc3e04ac5043e610b0b3e6a232a8d118779c633bb0b07a405a2c4497dda1

Observation 7102d53e-27ea-4857-b93c-cebcbb630149 · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning, 2020.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Curl: Contrastive unsupervised representations for reinforcement learning, 2020

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.286024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.155624Z digest=sha256:bc29e19c9d40615deeeffd3e59b9305b9083d6bea6aca019501ce6233b523dd3

Observation 38ab1eaa-4736-43bf-8138-42d3f7824a63 · outbound

This paper cites Auto-encoding variational bayes.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Auto-encoding variational bayes

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.276173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.159145Z digest=sha256:8592d3ecbe46ac32390b1434a22b2648179dda5eb07f3df0d73a1399025863d2

Observation d7047046-f40d-4a85-83af-0183ee49b07b · outbound

This paper cites World models.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning World models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.266213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.162671Z digest=sha256:ab72e81814e838b3bf26f3d6a589664d160d32b28f0b441ab63adb6ccda589fa

Observation 7e63779e-3de2-49b8-b1c4-c483c2b23106 · outbound

This paper cites Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.256424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.166417Z digest=sha256:d457a6e100a4a665c09b1939322c13d12e36807a84ac5e1bb0daef5f18d4b349

Observation dbd740cf-3203-468a-9961-f7ebd35ba3c9 · outbound

This paper cites Hasimoto frames and the Gibbs measure of periodic nonlinear Schr\"odinger Equation.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Hasimoto frames and the Gibbs measure of periodic nonlinear Schr\"odinger Equation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.170078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.170078Z digest=sha256:574f82480ae9d3356e970ad6d423cbbaca02c464a3ef7d85445181fa09de71f5

Observation a623fa3b-ce6c-4b6d-a9b6-8b830d9df860 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.245315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.173062Z digest=sha256:b47bf287f7041711367b9e2bb55660760b541d75b427df15f98312480d071195

Observation ae71f8bd-db54-4c60-885e-b05eee22e200 · outbound

This paper cites Self-supervised learning from im- ages with a joint-embedding predictive architecture.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Self-supervised learning from im- ages with a joint-embedding predictive architecture

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:03:50.235018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:03:50.175835Z digest=sha256:cfe69aa2c14ee25fc9aad9549b9c47329bcd3795af2336afac5b39e001218b4c

Observation 9a1c3bab-b194-455c-977d-4ba3df7112e0 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:50.178551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:50.178551Z digest=sha256:3c06fef98bcc514b6068eebf48908dbcff3e44cf08311b1d78eaf00fde1032e0

Pith citing papers

No inbound Pith citation observations are available.